The way we live is continuously changing due to Artificial Intelligence in fascinating and unexpected ways. Keeping up with the newest developments in Artificial Intelligence has proven to be challenging in this ever changing world of technology. This blog article points out five noteworthy AI news items that you may have missed. Here’s what you need to know.
Apple recently introduced a new AI feature for iPhones, After nearly two years of waiting. This big news was announced by the company’s CEO, Tim Cook, at the Worldwide Developer Conference (WWDC). But it’s not all good news.
Over 90% of current iPhone users can’t access these new AI capabilities. This exclusion is due to the fact that the latest AI features are being sidelined to users who have one of the two most powerful models being the iphone 15 pro and iphone 15 pro max.
With a population of over 1.5 billion active Apple users worldwide, it has been estimated that Apple’s intelligence will be reaching 7% of Apple’s total cell phone users, leaving users with older models out of the loop.
Many Apple fans are disappointed because they can’t use these advanced features without buying the latest model.
AI’s ability to create realistic but fake news stories is causing growing concern. Newsrooms are now working to address a new challenge with generative artificial intelligence. AI tools built by tech giants not only offer summaries on information but can also siphon news from websites.
A recent survey report found that global audiences are increasingly wary of the use of AI to create news content, especially on subjects as sensitive as politics.
People are worried that these AI-generated news stories could spread misinformation and be used to manipulate public opinion.
The skepticism around AI in journalism highlights the need for strict guidelines and ethical standards in AI-generated content .
Another highlight is the removal of the artificial intelligence (AI) powered ordering technologies from McDonald’s drive-thrus. McDonald’s tried using AI to take orders at their drive-thrus, but the experiment didn’t go as planned.
The AI system made too many mistakes, ranging from bizarre misinterpreted orders to bacon-topped ice cream to hundreds of dollars’ worth of chicken nuggets. This made customers and staff frustrated.
After numerous complaints, McDonald’s decided to end the AI drive-thru experiment, although it added that the tech would still be part of its businesses’ future. It hinted on continuous evaluation of long-term, scalable solutions that will help it make an informed decision on a future voice ordering solution by the end of the year,
This shows that while AI has great potential, it still has a long way to go in terms of accuracy and reliability in real-world applications .
Google’s DeepMind, a leader in AI research, has transitioned from focusing solely on research to developing AI products.
One of their latest projects, known as the AI Brain, promises to revolutionize future AI applications.
The AI Brain is designed to mimic human learning and decision-making processes, potentially leading to more intuitive and human-like AI systems.
This shift marks an exciting new phase for Google DeepMind, as they move from theory to creating practical, cutting-edge AI technologies .
It is of no doubt that AI is revolutionizing our world in profound ways. However, these stories show that there are still many challenges to overcome. From accessibility issues and the threat of misinformation to practical implementation failures and ethical dilemmas. The path to a fully AI-integrated future is not without obstacles. As we navigate the complex landscape of artificial intelligence, staying informed about these developments is very important.
AI in finance refers to the integration of artificial intelligence technologies to enhance financial services and functions. AI includes technologies like machine learning, natural language processing, and robotic process automation, improving efficiency, accuracy, and security in financial tasks. Main Areas of AI in Finance 1. Fraud Detection and Prevention Description: AI analyzes transactions to spot […]
In the rapidly evolving world of finance, artificial intelligence (AI) has emerged as a game-changer, revolutionizing the way financial planning is conducted. The integration of AI into financial planning processes offers unparalleled opportunities for automation, precision, and strategic insights. For both individual investors and corporate financial planners, AI tools can help optimize portfolios, forecast financial […]
Researchers have achieved a major breakthrough in increasing the precision of Global Navigation Satellite Systems (GNSS) in cities by developing a novel technique to detect non-line-of-sight (NLOS) errors. This progress carries significant potential for various applications, including self-driving cars and smart city infrastructure. The Problem of NLOS Errors In city environments, GNSS signals frequently face […]
Researchers from Tokyo Metropolitan University have made significant progress in using skin conductance measurements to distinguish emotions, providing a camera-free method for emotion recognition. This innovative approach offers several advantages over traditional facial expression-based methods and has potential applications in various fields.Skin Conductance and Emotion Recognition Skin conductance, also known as electrodermal activity (EDA) or galvanic […]
